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Supercharge your business with context-aware AI controllers, adaptive agents, multimodal reasoning functionality, neuroscientific memory systems, and flexible handler mechanisms that integrate the emerging generative AI models.
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Key FeaturesBuild an adaptive, context-aware AI controller with advanced memory strategiesEnhance GenAISys with multi-domain, multimodal reasoning capabilities and Chain of Thought (CoT)Seamlessly integrate cutting-edge OpenAI and DeepSeek models as you see fitBook Description
Standalone LLMs no longer deliver sufficient business value on their own. This guide moves beyond basic chatbots, showing you how to build agentic, ChatGPT-grade systems capable of sophisticated semantic and sentiment analysis, powered by context engineering.
You’ll design AI controller architectures with multi-user memory retention to dynamically adapt your system to diverse user and system inputs. You’ll architect a Retrieval-Augmented Generation system with Pinecone to combine instruction-driven scenarios. Through context engineering, you’ll minimize token usage, maximize response quality, and create systems that reason across complex tasks with precision. You’ll enhance your system’s intelligence with multimodal capabilities—image generation, voice interactions, and machine-driven reasoning—leveraging Chain-of-Thought and context chaining to address cross-domain automation challenges. You’ll also integrate OpenAI’s suite and DeepSeek-R1 without disrupting your existing GenAISys ecosystem.
With context engineering as the backbone, every step becomes a deliberate act of shaping model behavior. Your GenAISys will apply neuroscience-inspired insights to marketing strategies, predict human mobility, integrate smoothly into human workflows, and connect to live external data, all wrapped in a polished, investor-ready interface.
What you will learnImplement an AI controller with a conversation AI agent and orchestrator at its coreBuild contextual awareness with short-term, long-term, and cross-session memoryDesign cross-domain automation with multimodal reasoning, image generation, and voice featuresExpand a CoT agent by integrating consumer-memory understandingIntegrate cutting-edge models of your choice without disrupting your existing GenAISysConnect to real-time external data while blocking security breachesWho this book is for
This book is for AI and Machine Learning Engineers seeking to enhance their understanding of Generative AI and its enterprise applications. It will particularly benefit those interested in building AI agents, creating advanced orchestration systems, and leveraging AI for automation in marketing, production, and logistics. Software architects and enterprise developers looking to build scalable AI-driven systems will also find immense value in this guide. No prior superintelligence experience is necessary, but familiarity with AI concepts is recommended.
Table of ContentsDefining a Business-Ready Generative AI SystemBuilding the Generative AI ControllerIntegrating Dynamic RAG into the GenAISysBuilding the AI Controller Orchestration InterfaceAdding Multimodal, Multifunctional Reasoning with Chain of ThoughtReasoning E-Marketing AI AgentsEnhancing the GenAISys with DeepSeekGenAISys for Trajectory Simulation and PredictionUpgrading the GenAISys with Data Security and Moderation for Customer ServicePresenting Your Business-Ready Generative AI System
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Publisher : Packt Publishing
Publication date : July 25, 2025
Language : English
Print length : 444 pages
ISBN-10 : 1837020698
ISBN-13 : 978-1837020690
Item Weight : 1.67 pounds
Dimensions : 7.5 x 1 x 9.25 inches
Best Sellers Rank: #166,113 in Books (See Top 100 in Books) #4 in Industrial Quality Control #17 in Business Intelligence Tools #266 in Artificial Intelligence & Semantics
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